Joshua B. Tenenbaum

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Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityEmail confirmado em princeton.edu
Jiajun WuStanford UniversityEmail confirmado em cs.stanford.edu
Noah D. GoodmanStanford UniversityEmail confirmado em stanford.edu
Tomer UllmanAssistant Professor, HarvardEmail confirmado em fas.harvard.edu
Antonio TorralbaProfessor of Computer Science, MITEmail confirmado em csail.mit.edu
Charles KempMelbourne School of Psychological SciencesEmail confirmado em unimelb.edu.au
William T. FreemanProfessor of Computer Science, MITEmail confirmado em mit.edu
Vikash K. MansinghkaMIT, Probabilistic Computing ProjectEmail confirmado em mit.edu
Samuel GershmanProfessor, Harvard UniversityEmail confirmado em fas.harvard.edu
Kevin A SmithDepartment of Brain and Cognitive Sciences, MITEmail confirmado em mit.edu
Chris BakerChief Scientist, ISEE AIEmail confirmado em mit.edu
Brenden M. LakeAssociate Professor, New York UniversityEmail confirmado em nyu.edu
Max Kleiman-WeinerUniversity of WashingtonEmail confirmado em uw.edu
Armando Solar-LezamaMITEmail confirmado em csail.mit.edu
Kelsey AllenResearch Scientist, DeepMindEmail confirmado em deepmind.com
Tobias GerstenbergStanford UniversityEmail confirmado em stanford.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUEmail confirmado em cs.cmu.edu
Andrew PerforsUniversity of MelbourneEmail confirmado em unimelb.edu.au
Ilker YildirimYale UniversityEmail confirmado em yale.edu
Julian Jara-EttingerYale UniversityEmail confirmado em yale.edu

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Joshua B. Tenenbaum

MIT

Email confirmado em mit.edu - Página inicial

Cognitive science artificial intelligence machine learning computational neuroscience cognitive psychology


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
A global geometric framework for nonlinear dimensionality reduction JB Tenenbaum, V Silva, JC Langford science 290 (5500), 2319-2323, 2000	17447	2000
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	3809	2015
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and brain sciences 40, e253, 2017	3503	2017
Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling J Wu, C Zhang, T Xue, B Freeman, J Tenenbaum Advances in neural information processing systems 29, 2016	2416	2016
How to grow a mind: Statistics, structure, and abstraction JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman Science 331 (6022), 1279-1285, 2011	2260	2011
The large‐scale structure of semantic networks: Statistical analyses and a model of semantic growth M Steyvers, JB Tenenbaum Cognitive science 29 (1), 41-78, 2005	1892	2005
Meta-learning for semi-supervised few-shot classification M Ren, E Triantafillou, S Ravi, J Snell, K Swersky, JB Tenenbaum, ... arXiv preprint arXiv:1803.00676, 2018	1742	2018
Hierarchical topic models and the nested Chinese restaurant process T Griffiths, M Jordan, J Tenenbaum, D Blei Advances in neural information processing systems 16, 2003	1592	2003
Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation TD Kulkarni, K Narasimhan, A Saeedi, J Tenenbaum Advances in neural information processing systems 29, 2016	1527	2016
Topics in semantic representation. TL Griffiths, M Steyvers, JB Tenenbaum Psychological review 114 (2), 211, 2007	1479	2007
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022	1393	2022
Word learning as Bayesian inference. F Xu, JB Tenenbaum Psychological review 114 (2), 245, 2007	1380	2007
Global versus local methods in nonlinear dimensionality reduction V Silva, J Tenenbaum Advances in neural information processing systems 15, 2002	1295	2002
Machine behaviour I Rahwan, M Cebrian, N Obradovich, J Bongard, JF Bonnefon, C Breazeal, ... Nature 568 (7753), 477-486, 2019	1285	2019
Action understanding as inverse planning CL Baker, R Saxe, JB Tenenbaum Cognition 113 (3), 329-349, 2009	1220	2009
Causal inference in multisensory perception KP Körding, U Beierholm, WJ Ma, S Quartz, JB Tenenbaum, L Shams PLoS one 2 (9), e943, 2007	1215	2007
Theory-based Bayesian models of inductive learning and reasoning JB Tenenbaum, TL Griffiths, C Kemp Trends in cognitive sciences 10 (7), 309-318, 2006	1190	2006
Deep convolutional inverse graphics network TD Kulkarni, WF Whitney, P Kohli, J Tenenbaum Advances in neural information processing systems 28, 2015	1147	2015
Rethinking few-shot image classification: a good embedding is all you need? Y Tian, Y Wang, D Krishnan, JB Tenenbaum, P Isola Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	1134	2020
One shot learning of simple visual concepts B Lake, R Salakhutdinov, J Gross, J Tenenbaum Proceedings of the annual meeting of the cognitive science society 33 (33), 2011	1100	2011

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